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BSc CS Sem 5 March 2026 March 2026 Artificial Intelligence Question Paper - Mumbai University | munotes

March 2026 Question Paper, Mar 2026.pdf
SEM 5 · March 2026 · 1.0 MB · 29 Jun 2026

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Questions asked in this paper

  • 2) Figures to the right indicate marks
  1. Q3 Illustrations, in-depth answers and diagrams will be appreciated
  2. Q4 Mixing of sub-questions is not allowed
  3. Q1 Attempt ANY FOUR from the following: (20M)
    • (a) What is the role of PEAS factors in AI Agent? Mention it for Part picking robot and for playing Soccer Match
    • (b) Describe Goal based agent with example
    • (c) What is AI? State it’s one application
    • (d) Explain following task environments with example
    • (e) State & Explain Breadth First Search Algorithm of Uninformed Search
    • (f) Consider the following graph. Let the starting node be A and the goal node Find the path using Greedy Best First Search Algorithm
  4. Q2 Attempt ANY FOUR from the following: (20M)
    • (a) Explain Single-layer feed forward neural networks
    • (b) Write a short note on the AI Knowledge cycle
    • (c) Differentiate between Linear Regression & Logistic Regression
    • (d) Explain the architecture of the Fuzzy Logic System
    • (e) Write short note on Support Vector Machine
    • (f) Describe the Ensemble learning in brief
  5. Q3 Attempt ANY FOUR from the following: (20M)
    • (a) Explain the concept of Reinforcement Learning
    • (b) Explain Q- Learning in detail
    • (c) Write in short about Naive Bayes models
    • (d) Explain the concept of Unsupervised Learning. Give one example
    • (e) Write a short note on the Hidden Markov Model
    • (f) Consider the database given below
    • i) Support (Chole)
  6. Q4 Attempt ANY FIVE from the following: (15M)
    • (a) Write a short note on Thinking Humanly and Acting Humanly approaches
    • (b) Write states, Initial States, Actions, Transition Model and Goal test to
    • (c) Write a short note on Underfitting
    • (d) What is propositional Logic in AI?
    • (e) Write a short note on statistical learning
    • (f) What are hidden variables or Latent Variables?

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